Marcello A. Barcinski
- Molecular Biology top 10%
- Immunology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Epidemiology top 5%
- Cancer Research top 10%
- Co-authors
- M E C MoreiraJoão Luiz Mendes WanderleyAlan S. RosenthalAdriana BonomoGeorge A. DosReisA S RosenthalJosé Mário de Freitas BalancoRobson Q. Monteiro
- Topics
- Research on Leishmaniasis Studies (32 papers)Trypanosoma species research and implications (22 papers)Phagocytosis and Immune Regulation (15 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Marcello A. Barcinski
67 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.2k
- Immunology 1.0k
- Public Health, Environmental and Occupational Health 767
- Epidemiology 641
- Cancer Research 282
Countries citing papers authored by Marcello A. Barcinski
This map shows the geographic impact of Marcello A. Barcinski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcello A. Barcinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello A. Barcinski more than expected).
Fields of papers citing papers by Marcello A. Barcinski
This network shows the impact of papers produced by Marcello A. Barcinski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcello A. Barcinski. The network helps show where Marcello A. Barcinski may publish in the future.
Co-authorship network of co-authors of Marcello A. Barcinski
This figure shows the co-authorship network connecting the top 25 collaborators of Marcello A. Barcinski. A scholar is included among the top collaborators of Marcello A. Barcinski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcello A. Barcinski. Marcello A. Barcinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 48 | |
| 3 | 44 | |
| 4 | 211 | |
| 5 | 112 | |
| 6 | 8 | |
| 7 | 41 | |
| 8 | 22 | |
| 9 | 123 | |
| 10 | 6 | |
| 11 | 33 | |
| 12 | 64 | |
| 13 | 194 | |
| 14 | 129 | |
| 15 | 28 | |
| 16 | 27 | |
| 17 | 3 | |
| 18 | Immune response gene control of determinant selection. II. Genetic control of the murine T lymphocyte proliferative response to insulin. | 78 |
| 19 | 108 | |
| 20 | 124 |
About Marcello A. Barcinski
Marcello A. Barcinski is a scholar working on Immunology, Parasitology and Public Health, Environmental and Occupational Health, having authored 67 papers that have together received 2.9k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (32 papers), Trypanosoma species research and implications (22 papers) and Phagocytosis and Immune Regulation (15 papers). The work is most often cited by research in Immunology (1.0k citations), Parasitology (253 citations) and Public Health, Environmental and Occupational Health (767 citations). Marcello A. Barcinski has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include M E C Moreira, João Luiz Mendes Wanderley, Alan S. Rosenthal, Adriana Bonomo, George A. DosReis, A S Rosenthal, José Mário de Freitas Balanco, Robson Q. Monteiro, Luize G. Lima and Roger Chammas. Their work appears in journals such as Nature, The Journal of Experimental Medicine and The Journal of Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.